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Stop agent sprawl.
Control data at the source.

Replace dozens of single-purpose agents with one unified platform. Deploy to any infrastructure with policy-driven pipelines that self-heal - so you can build instead of maintain.

~/infrastructure
# Current data agents on this host:
The Problem

Your infrastructure is buried in agents.

Every tool brings its own agent. Every team writes custom scripts. You spend your nights fixing pipelines instead of shipping features.

01

Splunk forwarders everywhere

One per node, custom configs, constant updates

02

Fluentd for Kubernetes logs

YAML nightmares, version drift, debugging hell

03

Custom scripts for compliance

Brittle Python, unknown authors, 2 AM pages

04

Manual policy enforcement

Tickets, approvals, meetings - just to move data

The Solution

One agent. Everywhere.

Expanso Edge replaces your patchwork of tools with a single, policy-driven platform. Deploy to cloud, on-prem, edge, or Kubernetes - one agent, one config, total visibility.

One Agent Replaces ManySplunk forwarders, Fluentd, Vector, custom scripts - all replaced by one lightweight agent.
Policy-Driven, Not Code-HeavyDeclarative YAML configs that version in Git. No more brittle scripts.
Built-In GovernanceAudit trails, data lineage, and compliance enforcement - automatic from day one.
Self-Healing PipelinesAutomatic retries, intelligent backpressure, no data loss. Sleep through the night.

From chaos to control in minutes

1
< 2 minutes

Deploy the Agent

One command installs Expanso Edge anywhere - cloud VMs, Kubernetes, edge devices, or on-prem servers.

curl -fsSL https://get.expanso.io/edge/install.sh | bash
expanso-edge bootstrap --token YOUR_TOKEN
2
5 minutes

Define Your Pipeline

Write pipelines as code. Transform data with Bloblang, filter noise, route to any destination - all version-controlled in Git.

input:
  file:
    paths: ["/var/log/app/*.log"]
pipeline:
  processors:
    - mapping: |
        root = if this.level == "ERROR" { this }
        else { deleted() }
output:
  aws_s3:
    bucket: processed-logs
    path: logs/${!timestamp_unix()}.json
3
Real-time

Watch Data Flow

See filtered, governed data arrive at S3, Snowflake, Kafka, or any destination - with full audit trails.

What changes when you stop the sprawl

70%
Less maintenance

One agent to update, one config to manage

50-70%
Lower data costs

Filter at source, pay for less downstream

Minutes
To deploy

Not weeks of scripting and testing

"We replaced six different agents with Expanso. My team went from spending 40% of their time on pipeline maintenance to building actual features."
40% -> 5%Time on maintenance
Senior Platform Engineer-Fortune 500 Retailer

Built for scale

10,000+
Nodes per cluster
< 30 seconds
Config propagation
200+
Connectors
99.9%
Uptime SLA

Ready to stop maintaining and start building?

Start free. Deploy in minutes. No credit card required.